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📚 Booklist:octocat:

AUR


Machine Learning

Index Title
1 An Introduction to Natural Language Processing(Third Edition).pdf
2 An Introduction to Statistical Learning.pdf
3 Building Machine Learning Projects with TensorFlow.pdf
4 Deep Learning Tutorial 李宏毅 Hung-yi Lee.pdf
5 Deep Learning.pdf
6 Deep Learning_cn.pdf
7 Designing.Data-Intensive.Applications.pdf
8 MLAPP original.pdf
9 Machine Learning A Probabilistic Perspective.pdf
10 Machine Learning for the Web.pdf
11 Neural Network Design.pdf
12 Neural Networks and Learning Machines (3rd Edition).pdf
13 PRML_Chinese_vision.pdf
14 Pattern Recognition and Machine Learning.pdf
15 Rules of Machine Learning Best Practices for ML Engineering.pdf
16 TensorFlow for Machine Intelligence_ A Hands-On Introduction to Learning Algorithms-Bleeding Edge Press (2016).pdf
17 The Elements of Statistical Learning.pdf
18 统计学习方法, 李航.pdf
19 数据科学实战.pdf
20 统计自然语言处理(第二版).pdf
21 自然语言处理综论中文版.pdf
22 Reinforcement Learning An Introduction, Richard S. Sutton and Andrew G. Barto.pdf
23 Deep Reinforcement Learning Hands-On.pdf
24 Neural.Networks.Tricks.of.the.Trade.pdf
25 Statistics for Machine Learning.pdf
26 Deep Learning with PyTorch.pdf
27 An Introduction to Graphical Models, Michael I. Jordan.pdf
28 Graphical Models, Exponential Families, and Variational Inference.pdf
29 Machine Learning Algorithms.pdf
30 Deep+Learning+in+Natural+Language+Processing.pdf
31 Deep Learning with PyTorch.pdf
32 Machine Learning Yearning, Andrew Ng.pdf
33 Building Machine Learning Projects with TensorFlow.pdf
34 Bayesian Analysis with Python.pdf
35 Machine_Learning_A_Bayesian_and_Optimization_Perspective.pdf

Computer Science

Index Title
1 A Byte of Python3(中文版).pdf
2 Advanced Penetration Testing for Highly-Secured Environments Second Edition.pdf
3 Android Programming for Beginners.pdf
4 Arduino Development Cookbook.pdf
5 Building Websites with VB.NET and DotNetNuke 4.pdf
6 Creative Greenfoot.pdf
7 Flask By Example.pdf
8 Git Best Practices Guide.pdf
9 IPython Interactive Computing and Visualization Cookbook.pdf
10 Java Deep Learning Essentials.pdf
11 Learning AWS.pdf
12 Learning C# by Developing Games with Unity 5.x Second Edition.pdf
13 Learning C++ by Creating Games with UE4.pdf
14 Learning Data Mining with Python.pdf
15 Learning Java Functional Programming.pdf
16 Learning Object-Oriented Programming.pdf
17 Learning PHP 7.pdf
18 Learning Raspberry Pi.pdf
19 Learning Reactive Programming with Java 8.pdf
20 Learning Scrapy.pdf
21 Learning jQuery Fourth Edition.pdf
22 MEAN Web Development.pdf
23 Machine Learning with R Second Edition.pdf
24 Magento 2 Developer's Guide.pdf
25 Mastering C# Concurrency.pdf
26 Mastering Docker.pdf
27 Mastering Embedded Linux Programming.pdf
28 Mastering R for Quantitative Finance.pdf
29 Mastering Responsive Web Design.pdf
30 Mastering Windows PowerShell Scripting.pdf
31 Mastering Wireshark.pdf
32 Mastering matplotlib.pdf
33 Node.js Design Patterns.pdf
34 OpenCV Computer Vision with Python.pdf
35 OpenCV for Secret Agents.pdf
36 PYTHON_GAME_PROGRAMMING_BY_EXAMPLE.pdf
37 PostgreSQL 9 Administration Cookbook.pdf
38 Practical Data Science Cookbook.pdf
39 Practical DevOps.pdf
40 Practical Digital Forensics.pdf
41 Practical Linux Security Cookbook.pdf
42 Procedural Content Generation for C++ Game Development.pdf
43 Python 3 Object-oriented Programming Second Edition.pdf
44 Python Game Programming By Example.pdf
45 Python Machine Learning.pdf
46 Raspberry Pi Projects for Kids.pdf
47 Raspberry Pi for Secret Agents Second Edition.pdf
48 Scientific Computing with Python 3.pdf
49 Switching to Angular 2.pdf
50 The Game Jam Survival Guide.pdf
51 Think Python How to Think Like a Computer Scientist.pdf
52 Thinking in CSS.pdf
53 Thinking in HTML.pdf
54 Unity 5 Game Optimization.pdf
55 Unity AI Game Programming Second Edition.pdf
56 What You Need To Know About Node.js.pdf
57 What You Need to Know about Docker.pdf
58 What You Need to Know about Machine Learning.pdf
59 What You Need to Know about Python.pdf
60 What you need to know about R.pdf
61 WordPress 4.x Complete.pdf
62 Advanced Machine Learning with Python.pdf
63 Building Business Websites with Squarespace 7.pdf
64 Docker Cookbook.pdf
65 Effective Python Penetration Testing.pdf
66 GitHub Essentials.pdf
67 Learning JavaScript Data Structures and Algorithms.pdf
68 Learning Robotics Using Python.pdf
69 Mastering Blockchain.pdf
70 OpenCV By Example.pdf
71 Raspberry Pi By Example.pdf
72 TypeScript Design Patterns.pdf
73 Unity 5.x Shaders and Effects Cookbook.pdf
74 Python GUI Programming Cookbook Second Edition.pdf
75 Mastering Embedded Linux Programming, Second Edition.pdf
76 Deep Learning with Python, François Chollet.pdf
77 Python Data Structures and Algorithms.pdf
78 Mastering Python Networking.pdf
79 Expert Delphi.pdf
80 Modern Python Cookbook.pdf
81 Doing Bayesian Data Analysis.pdf
82 Foundations of Data Science.pdf
83 Foundations of Computer Science.pdf
84 Vue.js 2 Cookbook.pdf
85 算法图解.pdf
86 Algorithhms 4th Edition by Robert Sedgewick, Kevin Wayne.pdf
87 Cracking the Coding Interview, 4 Edition, 150 Programming Interview Questions and Solutions.pdf
88 编程之美——微软技术面试心得.pdf
89 Vulkan Cookbook.pdf
90 Building Microservices with Go.pdf
91 Python for Finance.pdf
92 Docker on Windows.pdf
93 Mastering Kubernetes.pdf
94 Python Web Scraping.pdf
95 ROS Robotics Projects.pdf
96 Mastering PHP 7.pdf
97 Learning Concurrency in Python.pdf
98 Progressive Web Apps with React.pdf
99 Pandas Cookbook.pdf
100 Kali Linux - An Ethical Hacker's Cookbook.pdf
101 Augmented Reality for Developers.pdf
102 Architecting Modern Java EE Applications.pdf
103 Modern R Programming Cookbook.pdf
104 Python for Everybody.pdf
105 Mastering Swift 4 Fourth Edition.pdf

Math

Index Title
1 Calculus I,II,III
2 Devore - Probability and Statistics (第7版及完整答案)
3 卓里奇 数学分析
4 An Introduction to Optimization 4th edition solution manual.pdf
5 An Introduction to Optimization.pdf
6 An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd Edition(不清晰).pdf
7 An Introduction to Optimization, 4th Edition.pdf
8 Basic Classes of Linear Operators.pdf
9 Convex Optimization,Stephen Boyd,Lieven Vandenberghe.pdf
10 Convex Optimization_ Algorithms and Complexity.pdf
11 Erwin Kreyszig Introductory functional analysis with applications.pdf
12 FUNCTIONAL ANALYSIS NOTES.pdf
13 Foundations of Modern Probability - Olav Kallenberg.pdf
14 Introduction to Hilbert spaces with applications-Lokenath Debnath, Piotr Mikusinski.pdf
15 Introduction to Linear Algebra 4th Edition.PDF
16 Linear Algebra and Its Applications (Peter Lax) 2nd Ed.pdf
17 Linear algebra done right, 3rd Edition, 2015.pdf
18 Linear_Algebra_and_Its_Applications_5th.pdf
19 Lokenath Debnath, Piotr Mikusinski Introduction to Hilbert spaces with applications.pdf
20 Numerical_Optimization.pdf
21 WilliamFeller-An IntroductionTo Probability Theory And Its Applications.VolII.pdf
22 常用不等式 匡继昌 第三版.pdf
23 数学分析中的典型问题和方法(第2版)裴礼文.pdf
24 数学分析习题集(第3版)-[俄]Б.П.吉米多维奇-高等教育出版社-1953.pdf
25 美国大学微积分教材James Stewart课本以及习题解.pdf
26 Abstract algebra--The Basic Graduate Year, Robert B. Ash.pdf
27 Complex Analysis,Christian Berg,2012.pdf
28 Probability - Theory and Examples, Rick Durrett, Edition 4.1.pdf
29 Probability and Random Processes 3rd Edition, Geoffrey Grimmett David Stirzaker.pdf
30 Probability and Random Processes,Venkatarama Krishnan.pdf
31 Probability and Random Processes.pdf
32 Topology,James Munkres, 2nd ed.pdf
33 概率论与数理统计(陈希孺).pdf
34 概率论与数理统计(茆诗松).pdf
35 Blitzstein J.K., Hwang J.-Introduction to Probability-CRC (2015).pdf
36 Introduction to Mathematical Statistics _7th .pdf
37 Probability and Statistics-Morris H.Degroot, 4th Edition.pdf
38 Probability theory the logic of science-概率论沉思录.pdf
39 凸优化_Stephen_Boyd(王书宁翻译).pdf
40 Introduction to Probability, Charles M. Grinstead & J. Laurie Snell.pdf
41 概率论基础教程_(美)Sheldon.M.Ross.pdf
42 A FIRST COURSE IN PROBABILITY.pdf

Other Resources

Index Title
1 Asking the Right Questions (11th Edition) .pdf
2 Beyond Feelings (A Guide to Critical Thinking).pdf
3 Beyond Feelings中文版.pdf
4 LaTeX Beginner's Guide.pdf
5 Word.Power.Made.Easy.[Norman.Lewis].scanned and bookmarked.pdf
6 latexshort-cn.pdf
7 图像处理、分析与机器视觉(第三版).pdf
8 艾格纳-齐格勒 - 数学天书中的证明(第三版).pdf

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